数据注入攻击下ICPS的自适应事件触发弹性控制
Adaptive event triggered resilient control of ICPS under data injection attack
薛威峰 1孙子文2
作者信息
- 1. 江南大学物联网工程学院,江苏无锡 214122
- 2. 江南大学物联网工程学院,江苏无锡 214122;物联网技术应用教育部工程研究中心,江苏无锡 214122
- 折叠
摘要
为使工业信息物理系统(ICPS)抵御数据注入攻击,本文研究了事件触发弹性控制策略,采用自适应事件触发以减少通信资源,构建攻击估计器以降低攻击对系统性能的影响.通过H∞渐近稳定性准则推导估计器参数,采用Lyapunov-Krasovskii函数推导事件触发、数据注入攻击、网络延迟和弹性控制器之间的定量关系.以二自由度质量-弹簧-阻尼串联系统为被控对象,MATLAB仿真验证基于自适应事件触发的ICPS在数据注入攻击下的系统性能,结果表明所采取策略能保证系统的稳定性,并有效减少通信资源.
Abstract
To defend the false data injection attack in an industrial cyber physicsal system(ICPS),this article studies the event-triggered mechanism of the resilient control,where the adaptive event-triggered mechanism is introduced to reduce the communication resource,and an attack estimator is also built to reduce the impact of attack on the system's performance.The relevant parameters of the estimator are derived by H∞ stability criterion,and the Lyapunov-Krasovskii function is used to get the quantitative relationship among event triggered parameters,the data injection attack,the network delay and the resilient controller.The simulation is conducted with MATLAB software to verify the performance of ICPS being based on the adaptive event triggered mechanism under data injection attack,where the two-degree-of-freedom mass-spring-damping series system is used as the plant.Simulation results show that the proposed mechanism,by using the combination of adaptive event triggered mechanism and attack estimator,can guarantee the system's stability and reduce communication resource.
关键词
ICPS/数据注入攻击/自适应事件触发/弹性控制Key words
ICPS/data injection attack/adaptive event-triggered/resilient control引用本文复制引用
基金项目
国家自然科学基金(61373126)
中央高校基本科研业务费专项(JUSRP51510)
江苏省自然科学基金(BK20131107)
出版年
2024
国家科技期刊平台
NSTL
万方数据